Spaced-repetition algorithms

5 papers

Evidence base for spaced-repetition algorithms — every paper below is DOI-verified so you can trace any claim back to its source.

Papers

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory
Su J., Ye J., Nie L., Cao Y., Chen Y. — **Year:** 2023
2023DOI: 10.1109/TKDE.2023.3251721
A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling
Ye J., Su J., Cao Y. — **Year:** 2022
2022DOI: 10.1145/3534678.3539081
Improving Students' Long-Term Knowledge Retention Through Personalized Review
Lindsey R. V., Shroyer J. D., Pashler H., Mozer M. C. — **Year:** 2014
2014DOI: 10.1177/0956797613504302
Using a Model to Compute the Optimal Schedule of Practice
Pavlik P. I., Anderson J. R. — **Year:** 2008
2008DOI: 10.1037/1076-898X.14.2.101
Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect
Pavlik P. I., Anderson J. R. — **Year:** 2005
2005DOI: 10.1207/s15516709cog0000_14

Audio companion script

This technique is called spaced repetition algorithms. Reach for it when you want to let an algorithm schedule each review at the optimal interval. The idea is simple. You build a steady habit and let it do the work over time. It is backed by five peer reviewed studies, so the advice rests on real evidence. Try it on your own material this week and notice how much more sticks.